SoGaussianGradientTensorProcessing3d

java.lang.Object
- com.openinventor.inventor.Inventor
- - com.openinventor.inventor.misc.SoBase
  - - com.openinventor.inventor.fields.SoFieldContainer
    - - com.openinventor.inventor.engines.SoEngine
      - com.openinventor.imageviz.engines.SoImageVizEngine
        
        com.openinventor.imageviz.engines.edgedetection.edgemarking.SoGaussianGradientTensorProcessing3d

All Implemented Interfaces:

SafeDisposable
```
public class SoGaussianGradientTensorProcessing3d
extends SoImageVizEngine
```
SoGaussianGradientTensorProcessing3d engine computes the structure tensor. The SoGradientOperatorProcessing3d engine computes the structure tensor of the input image by convolving the input image with the square first order derivatives of a Gaussian Kernel.
For instance, , , .
This filter provides an output spectral image where each channel represents a product of two partial derivative set in the following order , , , , , .
In order to extract the eigenvalues or vectors of the result image the SoEigenDecompositionProcessing3d command can be applied on the spectral image output.

See Also:

SoEigenDecompositionProcessing3d, SoHessianMatrixProcessing3d, SoEigenvaluesToStructurenessProcessing3d File format/default: GaussianGradientTensorProcessing3d { inImage NULL standardDeviation 3.f 3.f 3.f } Library references: GaussianGradientTensor3d

Nested Class Summary
- Nested classes/interfaces inherited from class com.openinventor.imageviz.engines.SoImageVizEngine
  SoImageVizEngine.ComputeModes, SoImageVizEngine.EventArg, SoImageVizEngine.Neighborhood3ds
- Nested classes/interfaces inherited from class com.openinventor.inventor.Inventor
  Inventor.ConstructorCommand

Field Summary

Fields
Modifier and Type	Field	Description
`SoSFImageDataAdapter`	`inImage`	inImage Default value is NULL.
`SoImageVizEngineOutput<SoSFImageDataAdapter,SoImageDataAdapter>`	`outTensorImage`	outTensorImage Default value is NULL.
`SoSFVec3f`	`standardDeviation`	The standard deviation for each direction (X, Y, Z) of the Gaussian Kernel that is used for computing first order derivatives.

Fields inherited from class com.openinventor.imageviz.engines.SoImageVizEngine
onBegin, onEnd, onProgress

Fields inherited from class com.openinventor.inventor.Inventor
VERBOSE_LEVEL, ZeroHandle

Constructor Summary

Constructors
Constructor Description

SoGaussianGradientTensorProcessing3d()
Constructor.

Method Summary
- Methods inherited from class com.openinventor.imageviz.engines.SoImageVizEngine
  abortEvaluate, isEvaluating, startEvaluate, waitEvaluate
- Methods inherited from class com.openinventor.inventor.engines.SoEngine
  copy, getByName, getOutput, getOutputName
- Methods inherited from class com.openinventor.inventor.fields.SoFieldContainer
  copyFieldValues, copyFieldValues, enableNotify, fieldsAreEqual, get, getAllFields, getEventIn, getEventOut, getField, getFieldName, hasDefaultValues, isNotifyEnabled, set, setToDefaults
- Methods inherited from class com.openinventor.inventor.misc.SoBase
  dispose, getName, isDisposable, isSynchronizable, setName, setSynchronizable, touch
- Methods inherited from class com.openinventor.inventor.Inventor
  getNativeResourceHandle
- Methods inherited from class java.lang.Object
  equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Field Detail
  - inImage
```
public final SoSFImageDataAdapter inImage
```
    inImage Default value is NULL. Supported types include: grayscale color image.
  - standardDeviation
```
public final SoSFVec3f standardDeviation
```
    The standard deviation for each direction (X, Y, Z) of the Gaussian Kernel that is used for computing first order derivatives. Each value must be greater than or equal to 0.1. Default value is SbVec3f( 3.f, 3.f, 3.f ).
  - outTensorImage
```
public final SoImageVizEngineOutput<SoSFImageDataAdapter,SoImageDataAdapter> outTensorImage
```
    outTensorImage Default value is NULL. Supported types include: grayscale binary label color image.
- Constructor Detail
  - SoGaussianGradientTensorProcessing3d
```
public SoGaussianGradientTensorProcessing3d()
```
    Constructor.